Abstract
Summary form only given. The identification of patients subject to life-threatening arrhythmias after myocardial infarction using signal-processing techniques for late potential (LP) detection in high-resolution surface ECGs has been investigated. Most of these methods are based on two steps: averaged ECG cycle construction and LP detection. The authors use simulation to study the intrinsic performance of four LP detection algorithms. An artificial noise-free ECG mean-cycle is generated (QRS power peak at 15 Hz) with floating-length QRS duration (91 q4 msec). Added noise is a Gaussian, stationary bandlimited, zero-mean process. Noise level was fixed at 1 mV rms. LPs were modeled as linear combinations of spikelike waveforms with changing morphology (band 5-250 Hz). LPs used were 50, 100, 150, and 200 ms long, starting from the R-wave peak. Time-domain detectors (TDD) show a high specificity, whereas frequency-domain detectors (FDDs) show a lower sensibility than TDDs. As expected, FDD sensibility decreases with LP decreasing, whereas TDDs based on signal rms tend to maintain a constant performance, except in very-short-duration LPs. TDDs based on QRS duration lack sensitivity for LP duration <150 msec.
Original language | English |
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Title of host publication | Computers in Cardiology |
Editors | Anon |
Publisher | Publ by IEEE |
Pages | 443 |
Number of pages | 1 |
Publication status | Published - Sep 1988 |
Event | Computers in Cardiology 1988 - Washington, DC, USA Duration: Sep 25 1988 → Sep 28 1988 |
Other
Other | Computers in Cardiology 1988 |
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City | Washington, DC, USA |
Period | 9/25/88 → 9/28/88 |
ASJC Scopus subject areas
- Software
- Cardiology and Cardiovascular Medicine